Survey on Organ Allocation Algorithms and Blockchain-based Systems for Organ Donation and Transplantation

Niyigena, Clemence; Seol, Soonuk; Lenskiy, Artem

doi:10.1109/ictc49870.2020.9289421

Cited by 11 publications

(12 citation statements)

References 15 publications

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“…It was observed in the studies that Ethereum was commonly used, 17‐20 and a few studies are performed on HLF environments 14,16 . There are also studies at the proposed system stage 20‐24 . In previous studies, public blockchains were frequently developed in Ethereum, 17‐19,25 and permissioned blockchains were generally developed in HLF 14,16 .…”

Section: The State Of Artmentioning

confidence: 99%

“…Furthermore, it was examined that currently there is no study on liver transplantation by using the HLF environment. In addition, none of the studies included SCs in detail to cover whole of the liver transplant process 16–21,24,25 . Although different studies with HLF platform is available in the literature, 2,4,12 it has been determined that the studies conducted in the medical domain are not yet in sufficient maturity.…”

Section: The State Of Artmentioning

confidence: 99%

“…Organ/tissue donation is processed from an alive or a cadaver donor according to the regulations and directives published by the MoH. According to the National Organ and Tissue Transplant Coordination System Directive, cadaver donor organ/s is given by only National Coordination Center (NCC), considering the National Organ Transplant waiting list patients that are mapping and scoring made 21,24,26‐29 …”

Section: The State Of Artmentioning

confidence: 99%

“…14,16 There are also studies at the proposed system stage. [20][21][22][23][24] In previous studies, public blockchains were frequently developed in Ethereum, [17][18][19]25 and permissioned blockchains were generally developed in HLF. 14,16 For consensus, proof-of-work 19,24 or proof-of-concept 17 or the number of validation 14,16 were used.…”

Section: The State Of Artmentioning

confidence: 99%

“…[20][21][22][23][24] In previous studies, public blockchains were frequently developed in Ethereum, [17][18][19]25 and permissioned blockchains were generally developed in HLF. 14,16 For consensus, proof-of-work 19,24 or proof-of-concept 17 or the number of validation 14,16 were used. Furthermore, it was examined that currently there is no study on liver transplantation by using the HLF environment.…”

Section: The State Of Artmentioning

confidence: 99%

See 4 more Smart Citations

A novel method to ensure the security of the shared medical data using smart contracts: Organ transplantation sample

Çalik

Kaya

Çelebi

2021

Concurrency and Computation

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In recent years, the rapid development in information technologies appears in the form of digitalization, all of the processes in the health domain. Among the state‐of‐art, virtual reality, artificial intelligence, and blockchain technologies are among the most mentioned. In addition, the exponential increase in data kept in the electronic environment causes traditional central applications to face new challenges. The most important of these are accountability, transparency, security, cost, and time efficiency. In this study, a model based on blockchain technologies has been proposed to increase the transparency, accountability, and security of multi‐stakeholder shared medical data by using smart contracts (SCs). In the first part, there are briefly introduced the current situation of the health domain, blockchain technology, hyperledger fabric (HLF) and SCs. Afterward, in line with the latest technological developments, the studies carried out using the blockchain framework related to organ/tissue transplantation were examined. Lastly, the proposed framework was designed based on blockchain technologies for organ/tissue transplantation by using the HLF environment. The blockchain technology not only provides more visibility, more security, and better outcomes but also enables to store data securely and cheaply without allocating extra resources to a trusted authority. Thus, it can be ensured that the system is more transparent and more accountable.

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Section: The State Of Artmentioning

confidence: 99%

Section: The State Of Artmentioning

confidence: 99%

Section: The State Of Artmentioning

confidence: 99%